{"id":"W1564143512","doi":"10.1002/9780470057339.vac003.pub2","title":"Capture–Recapture Sampling Designs","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Mark and recapture; Sampling (signal processing); Focus (optics); Point (geometry); Data collection; Sampling design; Data science; Data mining; Statistics; Mathematics; Sociology; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08595587,0.001333311,0.001606274,0.001839238,0.0009921957,0.001406408,0.003572078,0.002024476,0.01297789],"category_scores_gemma":[0.1001384,0.00084108,0.001098081,0.002386761,0.001908723,0.001632991,0.002036133,0.001770538,0.002368254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009796401,"about_ca_system_score_gemma":0.001872588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000551102,"about_ca_topic_score_gemma":0.0009409048,"domain_scores_codex":[0.9050485,0.0796173,0.004532401,0.004164811,0.005906017,0.0007309736],"domain_scores_gemma":[0.9265654,0.04684592,0.007592445,0.01201636,0.006258438,0.0007214029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002596498,0.0007287662,0.0154428,0.005140316,0.001259829,0.0003496245,0.001456974,0.01956093,0.005284762,0.5523903,0.01414948,0.3816397],"study_design_scores_gemma":[0.004753297,0.01313281,0.02478474,0.00359495,0.001566397,0.002133957,0.0009234084,0.08708259,0.01144146,0.6443416,0.2058891,0.0003556053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008895531,0.001194327,0.9683689,0.0006000946,0.0003680973,0.01173317,0.001227333,0.0001572183,0.007455311],"genre_scores_gemma":[0.1083221,0.001640592,0.8431585,0.0009725229,0.0002930821,0.03921842,0.0008364777,0.00004577375,0.005512493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08595587,"threshold_uncertainty_score":0.4545835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06953413766997923,"score_gpt":0.3089997176237811,"score_spread":0.2394655799538019,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}